New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

将Non-Local加在目标检测模型中 #34

Open

handsomefengfeng opened this issue Dec 24, 2019 · 1 comment

handsomefengfeng commented Dec 24, 2019

您好，我想请问一下，这种方法加在目标检测模型中，针对小物体的检测精度是否会提升

以及，一般加在哪里呢，怎么加？

谢谢~~~ ！

Owner

AlexHex7 commented Feb 13, 2020

@handsomefengfeng Hi, 我没有在detection中做过实验，Non-local这篇论文在COCO上面做了detection实验。Non-local涉及到两个feature map做矩阵乘法的操作，考虑到计算量的问题，一般放在high level 小feature map位置。

对于小物体检测的方面，我没有太多经验。不过我认为Non-local主要是针对Convolution缺点，增强全局关联性的。小物体精度可能更多是在feature map中小物体feature的保留。

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment